Conference: Participant Support for COMBINE 2015 to be held in Salt Lake City, UT on October 12-16, 2015

数据交换标准对任何领域的发展都至关重要。它们使研究人员和从业人员能够可靠地交换信息，应用各种工具解决问题，并重现科学结果。这个项目是为了支持将于2015年10月在犹他州盐湖城举行的关于这一主题的研讨会。这次会议是由生物学计算建模网络（COMBINE）组织的，该网络成立于2010年，旨在组织系统生物学的标准化工作。要求提供与会者费用，使学生和初级科学家能够参加会议。他们将在研究和工具标准化的重要性以及整个社区努力的影响方面学到宝贵的经验。这种努力对于系统和合成生物学以及转化研究领域至关重要，这些领域需要无缝衔接。会议将专门探讨生物学的数据交换标准，使研究人员和从业者能够可靠地交换信息，应用各种工具来解决他们的问题，并重现科学结果。除其他外，讨论将集中在用于数学建模的系统生物学标记语言（SBML），用于描述途径的生物途径交换语言（BioPaX），用于视觉表示的系统生物学图形符号（SBGN）以及用于描述生物设计的合成生物学开放语言（SBOL）。虽然合成生物学数据交换有许多独特的要求，但也有许多重叠的目标，例如需要构建数学模型、描述途径和提供视觉表示。因此，加入这些努力是非常有益的，这样，合成生物学社区就可以利用现有的标准来实现工具和其他基础设施的共享。同样，其他社区也将受益于围绕数据交换和合成生物学独特的前向工程生命系统的讨论。

Standards for data exchange are critical to the development of any field. They enable researchers and practitioners to exchange information reliably, apply a variety of tools to their problems, and reproduce scientific results. This is a project to support a workshop on this topic in October, 2015 to be held in Salt Lake City, Utah. The meeting is organized by the COmputational MOdeling in BIology NEtwork (COMBINE), which was created in 2010 to organize standardization efforts for systems biology. The request if for participant costs to enable students and junior scientist attend the meeting. They will learn will learn valuable lessons in the importance of research and tool standardization and the impact of a community-wide effort. This effort is essential for areas of systems and synthetic biology and translational research where to be seamless. The meetings will specifically explore data exchange standards for biology to enable researchers and practitioners to exchange information reliably, apply a variety of tools to their problems, and reproduce scientific results. The discussion will center, among others, on the systems biology markup language (SBML) for mathematical modeling, the biological pathways exchange language (BioPaX) for describing pathways, the systems biology graphical notation (SBGN) for visual representations, and the synthetic biology open language(SBOL) for describing biological designs. While synthetic biology data exchange has many unique requirements, there are also many overlapping goals such as the need to construct mathematical models, describe pathways, and provide visual representations. Therefore, it is highly beneficial to join these efforts, such that, the synthetic biology community can leverage existing standards enabling the sharing of tools and other infrastructure. Likewise, the other communities will benefit from renewed discussions around data exchange and synthetic biology's unique process of forward engineering living systems.